UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

LHR ↔ RIYADH

In the twelve months from July 2025 to June 2026, 26.0% of 1,928 movements arriving into LHR were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 74.0% of 1,928 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 129 crossed the three-hour mark. Lower is better on every figure on this page. These numbers describe what happened on the route; they are not a prediction for any individual flight.

Definitions, denominators and limits
  • “Disrupted” means an arrival more than fifteen minutes late or a short-notice cancellation. The denominator is operated movements plus short-notice cancellations.
  • Arrivals into the UK airport only; all published carriers.
  • Crossing three hours is one condition for compensation, but monthly data cannot establish any individual passenger’s rights.
  • Delay cause is not published in the open data.
  • Source: CAA punctuality statistics · snapshot 17/08/2026 10:24 · method route-record-v2.1.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

The four numbers at a glance

In the twelve months from July 2025 to June 2026, 26.0% of 1,928 movements were disrupted and 2.6% of 1,928 movements were cancelled at short notice.

When a flight was late, it was typically late by the range shown below. The delay is given as a range, not a single number, because the regulator rounds its published percentages and never says how many flights landed exactly on time.

Disruption shareShort-notice cancellationsAverage delay among delayed flights only — boundsOperations
26.0% of 1,928 movements2.6% of 1,928 movements28.1–59.3 min; N of delayed flights=451–8851,928
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 2.6% of 1,928 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min23.4%30 min13.4%60 min4.5%120 min1.5%180 min0.8%360 min0.1%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min23.4% of 1,928 movements4514.3
>30 min13.4% of 1,928 movements2587.5
>60 min4.5% of 1,928 movements8722.2
>120 min1.5% of 1,928 movements2868.9
>180 min0.8% of 1,928 movements15128.5
>360 min0.1% of 1,928 movements2964.0
Definitions, denominators and limits

CAA counts delays strictly greater than each threshold, so exactly three hours is inseparable from the previous bucket. The ladder describes the archive, not a forecast.

Slightly late, or occasionally a disaster?

This route runs late less often than most, but when it does go wrong it tends to go badly wrong: its long delays are heavier than on the typical UK route.

The histogram below counts every recorded arrival, from more than fifteen minutes early through to more than six hours late. A tall bar near the middle and a thin right-hand tail is the healthy shape.

Nine delay buckets, minutes; share of all recorded operations>15 early48325.1%15–1 early51026.5%0–15 late43422.5%16–3019310.0%31–601718.9%61…120593.1%121…180130.7%181…360130.7%>36020.1%D=1,928
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0412; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Nov 2022, 1.1% of 90 movements. Worst month: Mar 2026, 63.9% of 147 movements.

The line traces every month in the archive; lower is better. Gaps are months with no published data, never zeros. The 2020 and 2021 readings reflect the pandemic, not normal service.

Monthly disruption share; gaps mean no published dataJan 2018: 54.8%; sample: 622018Feb 2018: 32.0%; sample: 50Mar 2018: 43.3%; sample: 60Apr 2018: 28.3%; sample: 60May 2018: 32.3%; sample: 62Jun 2018: 18.3%; sample: 60Jul 2018: 25.8%; sample: 62Aug 2018: 37.1%; sample: 62Sep 2018: 31.7%; sample: 60Oct 2018: 24.1%; sample: 58Nov 2018: 29.6%; sample: 54Dec 2018: 52.5%; sample: 59Jan 2019: 40.3%; sample: 622019Feb 2019: 32.7%; sample: 55Mar 2019: 38.6%; sample: 57Apr 2019: 56.7%; sample: 60May 2019: 48.3%; sample: 60Jun 2019: 31.7%; sample: 60Jul 2019: 35.5%; sample: 62Aug 2019: 41.1%; sample: 56Sep 2019: 39.0%; sample: 59Oct 2019: 46.8%; sample: 62Nov 2019: 31.7%; sample: 60Dec 2019: 43.5%; sample: 62Jan 2020: 50.8%; sample: 632020Feb 2020: 55.2%; sample: 58Mar 2020: 40.5%; sample: 37Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: suppressed: fewer than twenty movements×Sep 2020: suppressed: fewer than twenty movements×Oct 2020: suppressed: fewer than twenty movements×Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: suppressed: fewer than twenty movements×May 2021: 28.6%; sample: 21Jun 2021: 9.4%; sample: 32Jul 2021: 7.5%; sample: 40Aug 2021: 25.0%; sample: 40Sep 2021: 4.9%; sample: 41Oct 2021: 7.7%; sample: 52Nov 2021: 11.3%; sample: 53Dec 2021: 22.4%; sample: 76Jan 2022: 23.9%; sample: 712022Feb 2022: 9.8%; sample: 41Mar 2022: 28.1%; sample: 64Apr 2022: 54.0%; sample: 87May 2022: 37.6%; sample: 93Jun 2022: 33.7%; sample: 83Jul 2022: 15.1%; sample: 93Aug 2022: 4.7%; sample: 85Sep 2022: 23.1%; sample: 78Oct 2022: 30.2%; sample: 86Nov 2022: 1.1%; sample: 90Dec 2022: 18.3%; sample: 93Jan 2023: 16.1%; sample: 932023Feb 2023: 10.7%; sample: 84Mar 2023: 21.5%; sample: 93Apr 2023: 27.6%; sample: 87May 2023: 10.5%; sample: 124Jun 2023: 5.9%; sample: 119Jul 2023: 10.5%; sample: 124Aug 2023: 6.5%; sample: 124Sep 2023: 9.2%; sample: 120Oct 2023: 5.7%; sample: 122Nov 2023: 30.5%; sample: 105Dec 2023: 24.3%; sample: 115Jan 2024: 28.5%; sample: 1232024Feb 2024: 24.1%; sample: 116Mar 2024: 15.4%; sample: 117Apr 2024: 42.9%; sample: 119May 2024: 31.7%; sample: 120Jun 2024: 8.5%; sample: 118Jul 2024: 12.9%; sample: 124Aug 2024: 12.2%; sample: 123Sep 2024: 12.9%; sample: 116Oct 2024: 12.5%; sample: 120Nov 2024: 18.3%; sample: 126Dec 2024: 13.0%; sample: 138Jan 2025: 15.7%; sample: 1402025Feb 2025: 17.2%; sample: 128Mar 2025: 15.4%; sample: 123Apr 2025: 25.3%; sample: 178May 2025: 22.3%; sample: 184Jun 2025: 16.8%; sample: 179Jul 2025: 11.9%; sample: 185Aug 2025: 8.6%; sample: 187Sep 2025: 12.8%; sample: 179Oct 2025: 9.6%; sample: 177Nov 2025: 14.0%; sample: 179Dec 2025: 37.7%; sample: 215Jan 2026: 45.6%; sample: 2172026Feb 2026: 26.1%; sample: 165Mar 2026: 63.9%; sample: 147Apr 2026: 49.6%; sample: 115May 2026: 20.0%; sample: 80Jun 2026: 9.8%; sample: 82Pandemic regime Jun 2020Summer 2022 breakdown Jul 2022NATS system failure Aug 2023Heathrow fire closure Mar 2025100%0%
Every month since 2018, including gaps and suppressed cells
MonthDisruption on arrivals
Jan 201854.8% of 62 movements
Feb 201832.0% of 50 movements
Mar 201843.3% of 60 movements
Apr 201828.3% of 60 movements
May 201832.3% of 62 movements
Jun 201818.3% of 60 movements
Jul 201825.8% of 62 movements
Aug 201837.1% of 62 movements
Sep 201831.7% of 60 movements
Oct 201824.1% of 58 movements
Nov 201829.6% of 54 movements
Dec 201852.5% of 59 movements
Jan 201940.3% of 62 movements
Feb 201932.7% of 55 movements
Mar 201938.6% of 57 movements
Apr 201956.7% of 60 movements
May 201948.3% of 60 movements
Jun 201931.7% of 60 movements
Jul 201935.5% of 62 movements
Aug 201941.1% of 56 movements
Sep 201939.0% of 59 movements
Oct 201946.8% of 62 movements
Nov 201931.7% of 60 movements
Dec 201943.5% of 62 movements
Jan 202050.8% of 63 movements
Feb 202055.2% of 58 movements
Mar 202040.5% of 37 movements — small sample, not ranked
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 2020suppressed: fewer than twenty movements
Sep 2020suppressed: fewer than twenty movements
Oct 2020suppressed: fewer than twenty movements
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021suppressed: fewer than twenty movements
May 202128.6% of 21 movements — small sample, not ranked
Jun 20219.4% of 32 movements — small sample, not ranked
Jul 20217.5% of 40 movements — small sample, not ranked
Aug 202125.0% of 40 movements — small sample, not ranked
Sep 20214.9% of 41 movements — small sample, not ranked
Oct 20217.7% of 52 movements
Nov 202111.3% of 53 movements
Dec 202122.4% of 76 movements
Jan 202223.9% of 71 movements
Feb 20229.8% of 41 movements — small sample, not ranked
Mar 202228.1% of 64 movements
Apr 202254.0% of 87 movements
May 202237.6% of 93 movements
Jun 202233.7% of 83 movements
Jul 202215.1% of 93 movements
Aug 20224.7% of 85 movements
Sep 202223.1% of 78 movements
Oct 202230.2% of 86 movements
Nov 20221.1% of 90 movements
Dec 202218.3% of 93 movements
Jan 202316.1% of 93 movements
Feb 202310.7% of 84 movements
Mar 202321.5% of 93 movements
Apr 202327.6% of 87 movements
May 202310.5% of 124 movements
Jun 20235.9% of 119 movements
Jul 202310.5% of 124 movements
Aug 20236.5% of 124 movements
Sep 20239.2% of 120 movements
Oct 20235.7% of 122 movements
Nov 202330.5% of 105 movements
Dec 202324.3% of 115 movements
Jan 202428.5% of 123 movements
Feb 202424.1% of 116 movements
Mar 202415.4% of 117 movements
Apr 202442.9% of 119 movements
May 202431.7% of 120 movements
Jun 20248.5% of 118 movements
Jul 202412.9% of 124 movements
Aug 202412.2% of 123 movements
Sep 202412.9% of 116 movements
Oct 202412.5% of 120 movements
Nov 202418.3% of 126 movements
Dec 202413.0% of 138 movements
Jan 202515.7% of 140 movements
Feb 202517.2% of 128 movements
Mar 202515.4% of 123 movements
Apr 202525.3% of 178 movements
May 202522.3% of 184 movements
Jun 202516.8% of 179 movements
Jul 202511.9% of 185 movements
Aug 20258.6% of 187 movements
Sep 202512.8% of 179 movements
Oct 20259.6% of 177 movements
Nov 202514.0% of 179 movements
Dec 202537.7% of 215 movements
Jan 202645.6% of 217 movements
Feb 202626.1% of 165 movements
Mar 202663.9% of 147 movements
Apr 202649.6% of 115 movements
May 202620.0% of 80 movements
Jun 20269.8% of 82 movements

What did the big disruptions actually do here?

Each named event below is shown against this route’s own baseline for the twelve months before it, and against how long the route took to get back to that baseline.

A month worse than baseline is not proof the named event caused it: the open data carry no delay-cause field at all. Some events sit near the edge of the archive, which limits how long a recovery can be traced.

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals15.1% of 93 movements22.2% across 741 flightsreturned the next month
Summer 2022 breakdown · Jul 2022Departures81.7% of 93 movements32.4% across 742 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals6.5% of 124 movements15.0% across 1,156 flightsreturned the next month
NATS system failure · Aug 2023Departures44.8% of 125 movements38.1% across 1,157 flightsreturned after 2 months
Heathrow fire closure · Mar 2025Arrivals15.4% of 123 movements17.8% across 1,489 flightsreturned after 3 months
Heathrow fire closure · Mar 2025Departures21.8% of 124 movements31.4% across 1,492 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

April has historically been the hardest month on this route: in a typical April, 42.9% of arrivals were disrupted, measured across 7 Aprils in the archive. August has been the calmest, at 10.4% across 6 Augusts.

Even April has ranged from 25.3% to 56.7% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201940.3% of 62 movements32.7% of 55 movements38.6% of 57 movements56.7% of 60 movements48.3% of 60 movements31.7% of 60 movements35.5% of 62 movements41.1% of 56 movements39.0% of 59 movements46.8% of 62 movements31.7% of 60 movements43.5% of 62 movements202050.8% of 63 movements55.2% of 58 movements40.5% of 37 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements28.6% of 21 movements †9.4% of 32 movements †7.5% of 40 movements †25.0% of 40 movements †4.9% of 41 movements †7.7% of 52 movements11.3% of 53 movements22.4% of 76 movements202223.9% of 71 movements9.8% of 41 movements †28.1% of 64 movements54.0% of 87 movements37.6% of 93 movements33.7% of 83 movements15.1% of 93 movements4.7% of 85 movements23.1% of 78 movements30.2% of 86 movements1.1% of 90 movements18.3% of 93 movements202316.1% of 93 movements10.7% of 84 movements21.5% of 93 movements27.6% of 87 movements10.5% of 124 movements5.9% of 119 movements10.5% of 124 movements6.5% of 124 movements9.2% of 120 movements5.7% of 122 movements30.5% of 105 movements24.3% of 115 movements202428.5% of 123 movements24.1% of 116 movements15.4% of 117 movements42.9% of 119 movements31.7% of 120 movements8.5% of 118 movements12.9% of 124 movements12.2% of 123 movements12.9% of 116 movements12.5% of 120 movements18.3% of 126 movements13.0% of 138 movements202515.7% of 140 movements17.2% of 128 movements15.4% of 123 movements25.3% of 178 movements22.3% of 184 movements16.8% of 179 movements11.9% of 185 movements8.6% of 187 movements12.8% of 179 movements9.6% of 177 movements14.0% of 179 movements37.7% of 215 movements202645.6% of 217 movements26.1% of 165 movements63.9% of 147 movements49.6% of 115 movements20.0% of 80 movements9.8% of 82 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan28.5%15.7–54.8%7 months, 768 flights
Feb24.1%9.8–32.7%7 months, 639 flights
Mar28.1%15.4–63.9%7 months, 661 flights
Apr42.9%25.3–56.7%7 months, 706 flights
May31.7%10.5–48.3%7 months, 723 flights
Jun16.8%5.9–33.7%7 months, 701 flights
Jul14.0%10.5–35.5%6 months, 650 flights
Aug10.4%4.7–41.1%6 months, 637 flights
Sep18.0%9.2–39.0%6 months, 612 flights
Oct18.3%5.7–46.8%6 months, 625 flights
Nov23.9%1.1–31.7%6 months, 614 flights
Dec31.0%13.0–52.5%6 months, 682 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

On the published record there is no clear winner: British Airways 18.2% of 455 movements, Riyadh Air 22.1% of 208 movements, Virgin Atlantic International 24.3% of 103 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionBritish Airways18.2% of 455 flightsRiyadh Air22.1% of 208 flightsSaudi Arabian Airlines29.1% of 1,013 flightsVirgin Atlantic Airways30.7% of 140 flightsVirgin Atlantic International24.3% of 103 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
British Airways45518.2% of 455 movements5.9% of 455 movements0.4% of 455 movementsdescriptive comparison
Qatar Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Riyadh Air20822.1% of 208 movementsno events in 208 movements1.0% of 208 movementsdescriptive comparison
Saudi Arabian Airlines1,01329.1% of 1,013 movements0.6% of 1,013 movements1.0% of 1,013 movementsdescriptive comparison
Smartwingssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Virgin Atlantic Airways14030.7% of 140 movements5.7% of 140 movements0.7% of 140 movementsdescriptive comparison
Virgin Atlantic International10324.3% of 103 movementsno events in 103 movementsno events in 103 movementsdescriptive comparison

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

No other UK airport published enough flights to this city in this window.

Each figure is arrivals into that UK airport, all carriers combined, over the same twelve months. It is a historical record, not a recommendation about where to fly from, and it says nothing about getting to or from each airport on the ground.

Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Bfs ↔ Riyadhsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Riyadhsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Riyadhsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Riyadhsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Riyadhsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Riyadhsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Riyadhsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Man ↔ Riyadhsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Riyadhsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Riyadhsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

Does the direction you are flying change anything?

Barely: arrivals into LHR ran 26.0% of 1,928 movements disrupted, departures 25.8% of 1,935 movements.

It matters legally as well as practically: a departure from the UK and an arrival into the UK on a UK or EU carrier fall under different conditions, and a departure delay does not establish a late arrival at your final destination.

Arrivals and departures side by side
DirectionDisruptionCancellationsOver three hours
Arrivals into LHR26.0% of 1,928 movements2.6% of 1,928 movements0.8% of 1,928 movements
Departures from LHR25.8% of 1,935 movements2.9% of 1,935 movements1.0% of 1,935 movements
Definitions, denominators and limits

CAA conditions on delays and cancellations.

How many flights here crossed the three-hour mark?

The table below counts arrivals and departures that ran more than three hours late — the threshold that is one of the conditions for compensation — across the whole archive and within the last six years.

The pound figure beside each count is arithmetic, not money anyone received: it is the count multiplied by the maximum statutory amount for this distance band. Whether any of those flights actually qualified is not knowable from this data.

DirectionWindowFlights over three hoursArithmetic statutory ceiling
ArrivalsWhole archive · Jan 2018–Jun 202675 flights out of 8,67375 × £520 = £39,000
ArrivalsLast 72 months · Jul 2020–Jun 202653 flights out of 7,07453 × £520 = £27,560
DeparturesWhole archive · Jan 2018–Jun 202693 flights out of 8,70393 × £520 = £48,360
DeparturesLast 72 months · Jul 2020–Jun 202673 flights out of 7,08273 × £520 = £37,960
Definitions, denominators and limits

Full formula: the count is the sum of the two tail buckets across months, carriers and service types in one direction; the ceiling is that count multiplied by the maximum statutory amount for the distance band. The condition is: if every such delay had been the carrier's fault and a claim had been filed on every one of them.

This is conditional arithmetic over operations: passenger numbers, legal applicability and the number of claims are all unknown. For departures it is an arithmetic scenario only, because arrival at the final point is not observed. For long routes the maximum ceiling is used; any reduction in the payable amount is not calculated.

The archive window is counted from the last month of data, not from today: this is not a limitation check for an individual case. The CAA states six years for England and Wales and five for Scotland. CAA: time limits and how to complain. Information, not a legal service.

The facts about this route

Route reference table: codes, distance, frequency, archive span
FieldValue
UK airportHEATHROW · LHR
Final point / countryRIYADH / SAUDI ARABIA
Final point codesRUH / OERK
Great-circle distance4,940 km
Maximum statutory amount for the band£520
Average operated arrivals per day5.15
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the archive102

origin_destination is the final point of the CAA service, not evidence of a nonstop connection. The distance joins the coordinates of the named airports; the actual track is unknown. Frequency describes published operations.

What this data cannot tell you

Delay cause is not published in the regulator's open data. Monthly aggregates describe a population, not a specific flight. Cells below twenty operations are suppressed; twenty to forty-nine are descriptive only and not ranked. Arrivals and departures do not add up. Cancellations are short-notice only, by the CAA definition. A movement is not the same as a scheduled flight.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

Data-quality counters for this route

Zero observed events does not mean zero risk. Operator coverage against the Summary file is not established in this record; comparisons are limited to the published population.

Unmatched records: 0; all recorded operations: 1,928; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

26.0% of 1,928 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

2.6% of 1,928 movements in the same window.

How many delays crossed three hours?

0.8% of 1,928 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

rare but severe. The class compares the tail with short delays across routes in the corpus.

What distance is used?

4,940 km, great-circle.

Can compensation entitlement be established here?

No. The cause and the circumstances of an individual flight are unknown. Official CAA conditions.

Why do some cells say "no data"?

That month is absent from the published series. Small cells carry a separate "suppressed" marker; a gap is never replaced by a zero.

How this was calculated

Dataset version, input hashes and reconstruction rules

Dataset version: 396da8dde2874f14; method route-record-v2.1.

Versioned register of every number and the entity map · Input hashes · Correction log · Reconstruction and formulas.

Reconstruction: integer counts inside the rounding bounds of shares of D, summing to M. Ambiguity is preserved as a range of feasible counts; non-convergence stays in quarantine. The map of codes and coordinates is pinned by hash alongside the data. Raw CSV files are not included in the published output.

Your trip has already gone wrong — what now?

The official route to complain

Contact the airline first, then the relevant ADR body or the CAA. The right to care is assessed separately from compensation; time limits and circumstances are checked case by case. CAA: how to complain.

Reconstruction and formulas

Open the versioned claim register

Was your flight delayed 3h+? Check what you may be owed

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